Abstract
The effect of dose calculation accuracy for IMRT was studied by comparing different dose calculation algorithms. A head and neck IMRT plan was optimized using a superposition dose calculation algorithm. Dose was re-computed for the optimized plan using both Monte Carlo and pencil beam dose calculation algorithms to generate patient and phantom dose distributions. Tumor control probabilities (TCP) and normal tissue complication probabilities (NTCP) were computed to estimate the plan outcome. For the treatment plan studied, Monte Carlo best reproduces phantom dose measurements, the TCP was slightly lower than the superposition and pencil beam results, and the NTCP values differed little.
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References
R. Mohan: ‘Why Monte Carlo?’, presented at the XII International Conference on the Use of Computers in Radiotherapy, Salt Lake City, Utah (1997)
P.J. Keall, J.V. Siebers, R. Mohan: ‘The impact of Monte Carlo dose calculations on treatment outcomes’, presented at the XIII International Conference on the Use of Computers in Radiation Therapy, Heidelberg, Germany (2000)
R. Jeraj, P.J. Keall: ‘Errors in inverse treatment planning based on inaccurate dose calculation’, presented at the XIII International Conference on the Use of Computers in Radiation Therapy, Heidelberg, Germany (2000)
Q. Wu, R. Mohan: Med. Phys. 27, 701 (2000)
W.R. Nelson, H. Hirayama, D.W.O. Rogers: The EGS4 Code System, Report No. SLAC-265, Stanford Linear Accelerator Center (1985)
D.W.O. Rogers, B.A. Faddegon, G.X. Ding, CM. Ma, J. We, T.R. Mackie: Med. Phys. 22, 503 (1995)
C.-M. Ma, P. Reckwerdt, M. Holmes, D.W.O. Rogers, B. Geiser, B. Walters: DOSXYZ users manual, Report No. PIRS-0509b, National Research Council of Canada (1995)
J.V. Siebers, P.J. Keall, M. Arnfield, J.O. Kim, R. Mohan: ‘Dynamic-MLC modeling for Monte Carlo dose calculations’, presented at the XIII International Conference on the Use of Computers in Radiation Therapy, Heidelberg, Germany (2000)
R. Mohan, C.S. Chui: Medical Physics 14, 70 (1987)
J.E. Munzenrider, A.P. Brown, J.C.H. Chu, L.R. Coia, K.P. Doppke, B. Emami, G.J. Kutcher, R. Mohan, J.A. Purdy, B. Shank, J.R. Simpson, L.J. Solin, M.M. Urie: Int J. of Radiation Oncology, Biology and Physics 21, 147 (1991)
A. Niemierko: ‘Treatment Evaluation’. In Teletherapy: Present and Future, ed. by T.R. Mackie and J.R. Palta (Madison, WI: Advanced Medical Publishing 1996)
J.T. Lyman: Radiation Research 104, S13 (1985)
C. Burman, G.J. Kutcher, B. Emami, M. Goitein: Int J. of Radiation Oncology, Biology and Physics 21 123 (1991)
B. Emami, J. Lyman, A. Brown, L. Coia, M. Goitein, J.E. Munzenrider, B. Shank, L.J. Solin, M. Wesson: Int. J. of Radiation Oncology, Biology and Physics 21, 109 (1991)
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© 2001 Springer-Verlag Berlin Heidelberg
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Siebers, J.V., Keall, P.J., Mohan, R. (2001). The Impact of Monte Carlo Dose Calculations on Intensity-Modulated Radiation Therapy. In: Kling, A., Baräo, F.J.C., Nakagawa, M., Távora, L., Vaz, P. (eds) Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation and Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18211-2_34
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DOI: https://doi.org/10.1007/978-3-642-18211-2_34
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